Optimal Specialization and Allocation of Maintenance Manpower

Abstract

This thesis develops an analytical method for determining an optimal level of specialization and optimal task allocation for a maintenance manpower force. The method assumes that maintenance tasks are generated by a system of identical machines which experience random malfunctions and require periodic service. The impact of alternative manpower structures on system performance is evaluated using a queuing network model. Markov decision analysis is employed to determine an optimal assignment of manpower resources to pending tasks as the network status varies over time. A linear programming algorithm is derived to enable simultaneous optimization of specific assignment decisions and the overall manpower structure. The optimization method is developed and demonstrated through a simple example, but the dimensionality issues associated with larger system models are also addressed.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1991
Accession Number
ADA243602

Entities

People

  • Dennis C. Dietz

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Aircraft Maintenance
  • Aircrafts
  • Airframes
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Failure Mode And Effect Analysis
  • Linear Programming
  • Logistics
  • Maintenance
  • Maintenance Personnel
  • Manpower Utilization
  • Random Variables
  • Systems Engineering

Fields of Study

  • Engineering

Readers

  • Instructional Design and Training Evaluation.
  • Life Cycle Cost Analysis
  • Mathematical Modeling and Probability Theory.